Paper Info
Title
Effective Recycling Solutions For The Production Of High-Quality Pet Flakes Based On Hyperspectral Imaging And Variable Selection
Abstract
In this study, effective solutions for polyethylene terephthalate (PET) recycling based on hyperspectral imaging (HSI) coupled with variable selection method, were developed and optimized. Hyperspectral images of post-consumer plastic flakes, composed by PET and small quantities of other polymers, considered as contaminants, were acquired in the short-wave infrared range (SWIR: 1000-2500 nm). Different combinations of preprocessing sets coupled with a variable selection method, called competitive adaptive reweighted sampling (CARS), were applied to reduce the number of spectral bands useful to detect the contaminants in the PET flow stream. Prediction models based on partial least squares-discriminant analysis (PLS-DA) for each preprocessing set, combined with CARS, were built and compared to evaluate their efficiency results. The best performance result was obtained by a PLS-DA model using multiplicative scatter correction + derivative + mean center preprocessing set and selecting only 14 wavelengths out of 240. Sensitivity and specificity values in calibration, cross-validation and prediction phases ranged from 0.986 to 0.998. HSI combined with CARS method can represent a valid tool for identification of plastic contaminants in a PET flakes stream increasing the processing speed as requested by sensor-based sorting devices working at industrial level.
Year
DOI
Venue
2021
10.3390/jimaging7090181
JOURNAL OF IMAGING
Keywords
DocType
Volume
PET, sensor-based sorting, plastic recycling, hyperspectral imaging, SWIR, variable selection, circular economy
Journal
7
Issue
ISSN
Citations 
9
2313-433X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Paola Cucuzza100.34
Silvia Serranti223.15
Giuseppe Bonifazi334.23
Giuseppe Capobianco411.45